Hui Li MD, PhD, Presenter: Nothing to Disclose

Maryellen L. Giger PhD, Abstract Co-Author: Stockholder, Hologic, Inc Royalties, Hologic, Inc Royalties, General Electric Company Royalties, MEDIAN Technologies Royalties, Riverain Medical Royalties, Mitsubishi Corporation Royalties, Toshiba Corporation

Sanaz A. Jansen PhD, Abstract Co-Author: Nothing to Disclose

Li Lan MS, Abstract Co-Author: Nothing to Disclose

Yading Yuan BEng, Abstract Co-Author: Nothing to Disclose

Neha Bhooshan PhD, Abstract Co-Author: Nothing to Disclose

Gillian Maclaine Newstead MD, Abstract Co-Author: Consultant, Naviscan, Inc Consultant, Bayer AG Spouse, stockholder, Hologic, Inc

Olufunmilayo I. Olopade MD, Abstract Co-Author: Nothing to Disclose

Breast density has been shown to be associated with the risk of developing breast cancer, and MRI has been recommended in the screening of high-risk women. The purpose of this study is to characterize the parenchymal patterns on FFDM and the associated enhancements on DCE-MRI of high-risk women.

The data on the high risk patients used in this study were retrospectively obtained under institutional review board (IRB) approved protocols. All patients were asymptomatic and presented for a high risk screening evaluation; they were free of breast cancer the year before and two years after the examinations used in this study. Ninety-two women were included in this preliminary study, and all have both FFDM and DCE-MRI. The FFDMs were acquired using a GE Senographe 2000D FFDM system. Regions-of-interest (ROIs), 256 pixels by 256 pixels in size, were manually selected from the central breast region behind the nipple. These ROIs were analyzed to assess the breast density and mammographic parenchymal texture patterns. The DCE-MR images were acquired using a standard double breast coil on a 1.5 T GE whole-body MRI system. One pre- and three to five post-contrast DCE-MR images were obtained using a T1-weighted 3D spoiled gradient echo sequence. The extracted breast volume was classified into fibroglandular and fatty regions. The parenchymal kinetic curves within the breast fibroglandular region were extracted and various parenchymal kinetic characteristics were calculated. In addition, the breast percentage dense was also estimated as fibroglandular regions over the entire breast both on FFDM and DCE-MRI.

Correlation analysis between the computer-extracted percent dense measures from FFDM and DCE-MRI yielded a correlation coefficient of 0.80 (p<0.0001). Results indicated that women who have dense breast, as well as coarse and low contrast mammographic patterns, tend to have more parenchymal enhancement at their peak time point (Ep) from parenchymal kinetic analysis on DCE-MRI.

Mammographic parenchymal patterns and associated MRI enhancement may be associated with breast density and thus are potentially useful as additional characteristics for assessing breast cancer risk.

Mammographic parenchymal patterns and associated MRI enhancement may be associated with breast density and breast cancer risk, and thus may be useful in the screening of high-risk women.

Li, H, Giger, M, Jansen, S, Lan, L, Yuan, Y, Bhooshan, N, Newstead, G, Olopade, O, Quantitative Parenchymal Analysis on FFDM and DCE-MRI of Women at High-Risk for Breast Cancer.  Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26 - December 2, 2011 ,Chicago IL. http://archive.rsna.org/2011/11034378.html